Machine Learning Engineer

About the Role: Machine Learning Engineer

Nexus Consulting is seeking an experienced Machine Learning Engineer to evaluate advanced machine learning systems for a leading AI research initiative. This project-based, fully remote role is ideal for professionals who thrive on deep technical reasoning, experimentation, and system-level thinking. You will play a direct role in shaping how cutting-edge AI systems are benchmarked against practical machine learning engineering tasks.

Key Responsibilities

• Design and write detailed evaluation suites for real-world machine learning engineering tasks.
• Translate applied ML research and engineering workflows into structured benchmarks.
• Evaluate AI-generated solutions related to model training, debugging, optimization, and experimentation.
• Reason about ML system design choices, tradeoffs, and performance implications.
• Produce clear, technically precise written assessments.

Ideal Qualifications

• 3+ years of experience in machine learning engineering or applied ML research.
• Hands-on experience with model development, experimentation, and evaluation.
• Background in ML research within an industry lab or academic setting (strongly preferred).
• Strong understanding of ML system design and optimization tradeoffs.
• Excellent written communication skills and high attention to technical detail.

More About the Opportunity

• Fully remote, asynchronous work completed on your own schedule.
• Project-based engagement with potential extensions based on performance and project needs.
• Weekly payments via Stripe or Wise.
• Independent contractor classification.
• No access to confidential or proprietary employer or client data.

Key skills/competency

• Machine Learning
• AI Systems
• ML Engineering
• Model Evaluation
• Benchmark Design
• System Design
• Optimization
• Experimentation
• Technical Reasoning
• Written Communication